This study presents an analysis of injuries (severe and fatal) sustained by “high-performance-small-motorcycle” users in Malaysia and establishes the relationship between fatality risk and human factors, exposure and vehicle factors resulting from motorcycle crashes. From the data gathered a statistical model based on logistic regression modeling technique has been developed. Five variables found to have a significant influence on fatality risk (p < 0.05) were age, location sites, engine capacity, object/vehicle struck and collision types.